Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models.
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| Title: | Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models. |
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| Authors: | Subedi, Sanjeena1, Neish, Drew2, Bak, Stephen2, Feng, Zeny2, zfeng@uoguelph.ca |
| Source: | Journal of the Royal Statistical Society: Series C (Applied Statistics); Nov2020, Vol. 69 Issue 5, p1163-1187, 25p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 146320183 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Subedi%2C+Sanjeena%22">Subedi, Sanjeena</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Neish%2C+Drew%22">Neish, Drew</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Bak%2C+Stephen%22">Bak, Stephen</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Feng%2C+Zeny%22">Feng, Zeny</searchLink><relatesTo>2</relatesTo>, <i>zfeng@uoguelph.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Royal+Statistical+Society%3A+Series+C+%28Applied+Statistics%29%22">Journal of the Royal Statistical Society: Series C (Applied Statistics)</searchLink>; Nov2020, Vol. 69 Issue 5, p1163-1187, 25p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=146320183 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/rssc.12432 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1163 Titles: – TitleFull: Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Subedi, Sanjeena – PersonEntity: Name: NameFull: Neish, Drew – PersonEntity: Name: NameFull: Bak, Stephen – PersonEntity: Name: NameFull: Feng, Zeny IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 00359254 Numbering: – Type: volume Value: 69 – Type: issue Value: 5 Titles: – TitleFull: Journal of the Royal Statistical Society: Series C (Applied Statistics) Type: main |
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